Online adaptive identification of multichannel systems for audio applications - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of the Acoustical Society of America Année : 2024

Online adaptive identification of multichannel systems for audio applications

Résumé

Impulse responses (IRs) estimation of multi-input acoustic systems is a prerequisite for many audio applications. In this paper, an adaptive identification problem based on the Autostep algorithm is extended to the simultaneous estimation of room IRs for multiple input single output linear time invariant systems without any a priori information. To do so, the proposed algorithm is initially evaluated in a simulated room with several sound sources active at the same time. Finally, an experimental validation is proposed for the cases of a semi-anechoic chamber and an arbitrary room. Special attention is dedicated to the algorithm convergence behavior, considering different meta parameters settings. Results are eventually compared with the other normalized version of the least mean square algorithm.
Fichier principal
Vignette du fichier
Pages_2024.pdf (4.58 Mo) Télécharger le fichier
Origine : Publication financée par une institution
Licence : CC BY - Paternité

Dates et versions

hal-04382391 , version 1 (09-01-2024)

Licence

Paternité

Identifiants

Citer

Guilhem Pagès, Roberto Longo, Laurent Simon, Manuel Melon. Online adaptive identification of multichannel systems for audio applications. Journal of the Acoustical Society of America, 2024, 155 (1), pp.229-240. ⟨10.1121/10.0024149⟩. ⟨hal-04382391⟩
15 Consultations
4 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More